Kafka Interview Questions

With numerous job opportunities and career opportunities in Kafka, the popularity of Apache Kafka is skyrocketing. Furthermore, in this day and age, knowing Kafka is a fast track to success.

So, in this article, “Most Popular Kafka Interview Questions and Answers,” we have compiled a list of the most frequently asked Apache Kafka Interview Questions and Answers for both experienced and inexperienced Kafka Technology professionals.

As a result, if you want to prepare for an Apache Kafka interview, this is the place to be. This will assist you in acing your Kafka interview.

Best kafka interview question and Answers:

Well here's a list of the most popular Kafka Interview Questions and Answers that any Interviewer may ask. So, continue reading until the end of the article “Kafka Interview Questions” to ace your interview on the first try.

Kafka interview questions for freshers:

1.What exactly is Apache Kafka?

Apache's response Kafka is an open source publish-subscribe message broker application. Scala was used to create this messaging application. This project was essentially initiated by the Apache software. Kafka's design pattern is primarily based on transactional logs.

2. What are the components of kafka?

The components of kafka are topic, producer, consumer and brokers.

3.Explain the function of the offset.

The messages in the partitions are assigned a sequential ID number, which we refer to as an offset. So, we use these offsets to uniquely identify each message in the partition.

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4.What exactly is a Consumer Group?

Apache Kafka invented the concept of Consumer Groups. Every Kafka consumer group is made up of one or more consumers who consume a set of subscribed topics together.

5.What is the ZooKeeper's role in Kafka?

Apache's response Kafka is a distributed system designed to work with Zookeeper. However, Zookeeper's primary role in this context is to establish coordination between different nodes in a cluster. However, because it works as a periodically commit offset, we also use Zookeeper to recover from previously committed offsets if any node fails.

6.Is it possible to use Kafka in the absence of ZooKeeper?

Because it is impossible to connect directly to the Kafka server without using Zookeeper, the answer is no. If ZooKeeper fails, it is impossible to service any client request.

7.What do you know about Kafka's Partition?

There are only a few partitions available in every Kafka broker. And, in this case, each Kafka partition can be either a leader or a replica of a topic.

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8.What are the main Kafka APIs?

Apache Kafka has four main APIs:

  • API for the producer
  • API for Consumers 
  • Streams API
  • API for Connectors

9.What are consumers?

Kafka Consumer primarily subscribes to a topic(s), as well as reads and processes messages from the topic (s). Furthermore, by naming a consumer group, consumers label themselves.

In other words, each record published to a topic is delivered to one consumer instance within each subscribing consumer group. Ascertain that Consumer instances can exist in separate processes or on separate machines.

10.What are your options with Kafka?

It can perform in a variety of ways, including: >> To transmit data between two systems, we can build a real-time stream of data pipelines with it; >> We can also build a real-time streaming platform with Kafka that can actually react to the data.

11.What is the purpose of the Kafka cluster's retention period?

The retention period, on the other hand, keeps all published records within the Kafka cluster. It makes no distinction between whether or not they have been consumed. Furthermore, the records can be discarded by configuring the retention period. And it has the added benefit of freeing up some space.

12.What are the different types of traditional message transfer methods?

There are two basic methods of traditional message transfer, which are as follows:

Queuing is a method in which a pool of consumers reads a message from the server, and each message is delivered to one of them.

Publish-Subscribe: Messages are broadcast to all consumers in Publish-Subscribe.

Kafka interview questions for Experienced:

1.Why is Kafka technology important to employ?

Kafka has some advantages that make it worthwhile to use:

  • High-throughput
    Kafka does not require any large hardware because it can handle high-velocity and high-volume data. Furthermore, it can handle message throughput of thousands of messages per second.
  • Latency is low.
    Kafka can easily handle these messages with the millisecond latency required by the majority of the new use cases.
  • Fault-Tolerant
    Within a cluster, Kafka is resilient to node/machine failure.
  • Durability
    Messages are never lost because Kafka supports message replication. It is one of the factors that contribute to durability.
  • Scalability
    By adding additional nodes, Kafka can be scaled-out without causing any downtime.

2.What ensures the server's load balancing in Kafka?

Because the Leader's primary role is to perform all read and write requests for the partition, Followers passively replicate the Leader.As a result, if the Leader fails, one of the Followers takes over as Leader. Essentially, this entire process ensures that the servers' load is balanced.

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3.What are the roles of Replicas and the ISR?

Replicas is essentially a list of nodes that replicate the log. Especially for a specific partition. They are, however, regardless of whether they play the role of Leader.

Furthermore, ISR stands for In-Sync Replicas. ISR is defined as a set of message replicas that are synced to the leaders.

4.Why are Replications so important in Kafka?

We can be certain that published messages are not lost and can be consumed in the event of a machine error, a program error, or frequent software upgrades thanks to replication.

5.What does it mean if a Replica stays out of the ISR for an extended period of time?

Simply put, it means that the Follower cannot retrieve data as quickly as the Leader.

6. When does a QueueFullException occur in the Producer?

When the Kafka Producer attempts to send messages at a rate that the Broker is unable to handle, a QueueFullException is typically thrown. However, because the Producer does not block, users will need to add enough brokers to collaboratively handle the increased load.

7. Describe the function of the Kafka Producer API.

Producer API refers to an API that allows an application to publish a stream of records to one or more Kafka topics.

8. What is the primary distinction between Kafka and Flume?

The main distinctions between Kafka and Flume are as follows:

  • Tool classifications
    Apache Kafka– Because Kafka is a general-purpose tool, it can be used by both multiple producers and consumers.Apache Flume– Flume, on the other hand, is regarded as a specialized tool for specific applications.
  • Feature of replication:Apache Kafka– Kafka is capable of replicating events.Flume, on the other hand, does not replicate the events.

9.Is Apache Kafka a platform for distributed streaming? If so, what can you do with it?

Without a doubt, Kafka is a streaming platform. It can assist in the following ways:


To easily push records

Furthermore, it can store a large number of records without causing any storage issues.

Furthermore, it can process records as they arrive.

10.What is the maximum size of a message that Kafka can accept?

The maximum size of a message that Kafka can receive is approximately 1000000 bytes.

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11.What is the purpose of the Streams API?

Streams API is an API that allows an application to act as a stream processor by consuming an input stream from one or more topics and producing an output stream to one or more output topics, as well as effectively transforming the input streams to output streams.

12.What is your explanation, Producer?

Producers' primary responsibility is to publish data on topics of their choosing. Its primary responsibility is to select the record to assign to the partition within the topic.

13.Describe how to tune Kafka for maximum performance.

So, one way to tune Apache Kafka is to tune its various components:

  • Kafka Tuning Producers
  • Kafka BrokersTuning
  • Tuning Kafka Consumers

Conclusion:

Hence, you now know the best Kafka Interview Questions and Answers.

Furthermore, if you have recently attended any Kafka interviews, we would appreciate it if you could add more Kafka Interview Questions in the comments section. I hope this helps you get through the Kafka interview.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.